Self-Learning Contextual Modality Selection for Cognitive Solution Delivery

1. A method comprising: computing, at an application executing using a processor and a memory, from an input, a problem context, the problem context comprising a set of problem factors, the input comprising a problem to be solved using a cognitive system; computing, at the application, from the input, a user context, the user context comprising a set of user factors; determining a type of media corresponding to a complexity of a cognitive solution received from the cognitive system, wherein the cognitive solution is responsive to the problem; determining, using a problem factor from the set of problem factors, using a user factor in the set of user factors, and the complexity, a mode of communication; adjusting a communication apparatus to cause a data communication to occur, wherein the data communication delivers the cognitive solution in the type of media using the mode of communication; instrumenting the cognitive solution with an evaluation code; receiving, after the data communication has ended, an evaluation input from the evaluation code, wherein the evaluation input has a value corresponding to a delivery performance of the cognitive solution over the data communication using the mode of communication; changing a weight of one or more of (i) a problem factor in the set of problem factors, (ii) a user factor in the set of user factors, (iii) a second mode of communication of the input, and (iv) the complexity; and causing, responsive to the changing, the communication apparatus to transmit a second cognitive solution responsive to a second problem in the type of media using a third mode of communication.

2. The method of claim 1 , wherein the mode of communication is different from a second mode of communication of the input.

3. The method of claim 1 , wherein the mode of communication is determined further responsive to a preference, wherein the preference is a user preference.

4. The method of claim 1 , wherein the mode of communication is determined further responsive to a preference, wherein the preference is a group preference of a user group that includes a sender of the input.

5. The method of claim 1 , wherein a user factor in the set of user factors of the user context is a location of a sender of the input relative to a system affected by the problem.

6. The method of claim 1 , wherein a user factor in the set of user factors of the user context is a change in a location of a sender indicative of a mobility of the user.

7. The method of claim 1 , wherein a user factor in the set of user factors of the user context is a type of data communication network used to provide the input.

8. The method of claim 1 , wherein a user factor in the set of user factors of the user context is a time delay between an occurrence of the problem and a time of sending the input.

9. The method of claim 1 , wherein a user factor in the set of user factors of the user context is a level of detail in the input to describe the problem.

10. The method of claim 1 , wherein a problem factor in the set of problem factors of the problem context is a mode of communication that is used in the transmitting the input to the cognitive system.

11. The method of claim 1 , wherein a problem factor in the set of problem factors of the problem context is a bandwidth available in a mode of communication that is used in the transmitting the input to the cognitive system.

12. The method of claim 1 , wherein a problem factor in the set of problem factors of the problem context is a type of data that is used in the input.

13. A method comprising: computing, at an application executing using a processor and a memory, from an input, a problem context, the problem context comprising a set of problem factors, the input comprising a problem to be solved using a cognitive system; computing, at the application, from the input, a user context, the user context comprising a set of user factors; determining a type of media corresponding to a complexity of a cognitive solution received from the cognitive system, wherein the cognitive solution is responsive to the problem; determining, using a problem factor from the set of problem factors, using a user factor in the set of user factors, and the complexity, a mode of communication; adjusting a communication apparatus to cause a data communication to occur, wherein the data communication delivers the cognitive solution in the type of media using the mode of communication; instrumenting the cognitive solution with an evaluation code; receiving, after the data communication has ended, an evaluation input from the evaluation code, wherein the evaluation input has a value corresponding to an ease of using the type of media of the cognitive solution over the data communication using the mode of communication; changing a weight of one or (i) a problem factor in the set of problem factors, (ii) a user factor in the set of user factors, (iii) a second mode of communication of the input, and (iv) the complexity; and causing, responsive to the changing, selection of a second type of media corresponding to a second cognitive solution responsive to a second problem for transmitting using the mode of communication.

14. A method comprising: computing, at an application executing using a processor and a memory, from an input, a problem context, the problem context comprising a set of problem factors, the input comprising a problem to be solved using a cognitive system; computing, at the application, from the input, a user context, the user context comprising a set of user factors; determining a type of media corresponding to a complexity of a cognitive solution received from the cognitive system, wherein the cognitive solution is responsive to the problem; determining, using a problem factor from the set of problem factors, using a user factor in the set of user factors, and the complexity, a mode of communication; adjusting a communication apparatus to cause a data communication to occur, wherein the data communication delivers the cognitive solution in the type of media using the mode of communication; receiving, after the data communication has ended, an evaluation input from an end-user of the cognitive solution, wherein the evaluation input has a value corresponding to an ease of using the type of media of the cognitive solution over the data communication using the mode of communication; changing a weight of one or more of (i) a problem factor in the set of problem factors, (ii) a user factor in the set of user factors, (iii) a second mode of communication of the input, and (iv) the complexity; and causing, responsive to the changing, selection of a second type of media corresponding to a second cognitive solution responsive to a second problem for transmitting using the mode of communication.